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Computational intelligence in modeling complex systems and solving complex problems

Kóczy, L.T., Medina, J., Reformat, M., Wong, K.W. and Yoon, J.H. (2019) Computational intelligence in modeling complex systems and solving complex problems. Complexity, 2019 . pp. 1-6.

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Link to Published Version: https://doi.org/10.1155/2019/7606715
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Abstract

In the special issue on computational intelligence (CI) and complex systems a plethora of approaches is presented on how to apply computation intelligence in modeling, control, decision support, and optimization of complex problems. The three main components of CI are fuzzy systems, evolutionary and population based algorithms, and artificial neural networks. In addition, there are other related techniques, among others, chaos theory and subjective probability. Often, the combinations and hybrids of these methods, sometimes complemented by classic mathematical or modeling tools, turn out to be most efficient in the solution of real life problems. In the series of 26 papers, illustrations for almost all of these methods may be found...

Item Type: Journal Article
Murdoch Affiliation: School of Engineering and Information Technology
Publisher: Hindawi Publishing
Copyright: © 2019 Laszlo T. Koczy et al.
URI: http://researchrepository.murdoch.edu.au/id/eprint/43211
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